SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4501–4550 of 14581 papers

TitleStatusHype
Rotation-Sensitive Regression for Oriented Scene Text Detection—0
Rough extreme learning machine: a new classification method based on uncertainty measure—0
Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers—0
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification—0
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification—0
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses—0
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification—0
RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks—0
RTFN: A Robust Temporal Feature Network for Time Series Classification—0
Rude waiter but mouthwatering pastries! An exploratory study into Dutch Aspect-Based Sentiment Analysis—0
Rule-Based Classification of Hyperspectral Imaging Data—0
Rule-Based Weibo Messages Sentiment Polarity Classification towards Given Topics—0
Rule Extraction Algorithm for Deep Neural Networks: A Review—0
Rule Of Thumb: Deep derotation for improved fingertip detection—0
RULLS: Randomized Union of Locally Linear Subspaces for Feature Engineering—0
Rumor Detection and Classification for Twitter Data—0
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian—0
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification—0
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification—0
Saagie at Semeval-2019 Task 5: From Universal Text Embeddings and Classical Features to Domain-specific Text Classification—0
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks—0
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity—0
SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression—0
Safer Classification by Synthesis—0
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images—0
Saliency-based Sequential Image Attention with Multiset Prediction—0
Saliency-based Weighted Multi-label Linear Discriminant Analysis—0
Saliency-guided video classification via adaptively weighted learning—0
Saliency Methods for Explaining Adversarial Attacks—0
Salient Slices: Improved Neural Network Training and Performance with Image Entropy—0
SalProp: Salient object proposals via aggregated edge cues—0
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks—0
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model—0
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data—0
Sample Complexity of Adversarially Robust Linear Classification on Separated Data—0
Sample Complexity of Nonparametric Semi-Supervised Learning—0
Sample, computation vs storage tradeoffs for classification using tensor subspace models—0
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network—0
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning—0
Sample Size Planning for Classification Models—0
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation—0
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach—0
Samvaadhana: A Telugu Dialogue System in Hospital Domain—0
SANet: Structure-Aware Network for Visual Tracking—0
SANet:Superpixel Attention Network for Skin Lesion Attributes Detection—0
SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP—0
SARS-Cov-2 RNA Sequence Classification Based on Territory Information—0
SAS: A Simple, Accurate and Scalable Node Classification Algorithm—0
Satellite image classification and segmentation using non-additive entropy—0
Satellite image classification methods and Landsat 5TM bands—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified